Job: iPlant Genotype to Phenotype Scientific Analyst

Submitted by admin on Tue, 04/12/2011 - 19:08

The iPlant Collaborative is a cyberinfrastructure collaborative, working to address grand challenges identified by the plant sciences community. The iPlant Collaborative seeks to develop a comprehensive national cyberinfrastructure which will unite researchers in every plant biology discipline--from those working at the microscopic level, such as molecular biologists, cellular biologists and geneticists, to those working on the ecosystem and planetary level. iPlant works in partnership with computer scientists and engineers, information scientists, mathematicians and social scientists, in order to facilitate communication and collaboration across all of these disciplines to address questions of global importance and advance all of these fields.

The iPlant Genotype to Phenotype (iPG2P) project is seeking an engagement team analyst (ETA). The ETA serves as a liaison between scientific working groups, the iPlant software development team and iPlant leadership. This involves active discussion with the scientists, research into appropriate bioinformatics tools and supporting technologies, and the judicious application of technical judgment to convert working group conversation into practical design requirements.

The primary responsibilities of the iPG2P Engagement Team Analyst include:

  • Translation of working group discussions into formal software requirements
  • Attending working group meetings and leading technical discussions
  • Working with scientific collaborators to identify needs, articulate priorities, and develop workflows and narratives
  • Tool research and evaluation, prototype software development and testing
  • Managing and reporting on project requirements, progress, and deliverables
  • Performing related duties as assigned by the iPG2P Scientific Lead and Project Manager
  • Being proactive in identifying opportunities and potential problems
  • Coordinating development across projects, facilitating integration and cross-communication

REQUIRED QUALIFICATIONS

  • Advanced degree (MS or Ph.D) in a life science discipline (biology, genetics, biochemistry, etc.). Candidates with a degree in another natural science, computer science, information technology or a related discipline will also be considered with a demonstrated track record of research experience in the life sciences;
  • 2-3 years work experience conducting computational biology research and/or collaborative scientific software development (academic, government, or industry);
  • Interest in science and technology and ability to rapidly adapt to new technologies;
  • Excellent oral presentation and communications skills
  • Strong interpersonal skills and ability to build consensus
  • Advanced ability to work independently under established deadlines and as part of a team
  • Ability to travel as required to partner/collaborator institutions, relevant conferences, etc.

PREFERRED QUALIFICATIONS

  • A research background in genomics, genetics, physiology, or molecular biochemistry
  • Experience in projects involving advanced computing and information technologies used in life science research in academia, government laboratories, and/or industry
  • Competence in at least two of the following: Perl, Python, C, C++, R, UNIX Shell, Java
  • Proven ability to promote and support the use of high-performance computing, visualization, networking, and massive data storage systems to scientists to expand their research impact.

Please proceed to the University of Arizona Jobs website to apply and search for “team analyst”. The University of Arizona is an Affirmative Action and Equal Opportunity Employer.